State-Space Methods for Control Systems

1979 ◽  
Vol 9 (5) ◽  
pp. 314-315
Author(s):  
F. Csaki ◽  
R. Bars
SIAM Review ◽  
1978 ◽  
Vol 20 (4) ◽  
pp. 864-865
Author(s):  
James S. Meditch

2018 ◽  
Vol 50 (47) ◽  
pp. 5110-5121 ◽  
Author(s):  
Stephen Bazen ◽  
Jean-Marie Cardebat

2014 ◽  
Vol 1061-1062 ◽  
pp. 1144-1147
Author(s):  
Jun Fu ◽  
Jin Zhao Wu ◽  
Ning Zhou ◽  
Hong Yan Tan

We present a quantitative model, called metric hybrid automata, for quantifying the behaviors of complex physical systems, such as chemical reaction control systems, manufacturing systems etc. Due to the introduction of a metric, the state space of hybrid automata forms a metric space, in which the difference of states can be quantified. Furthermore, in order to reveal the distance of system behaviors, we construct the simulation distance and the bisimulation distance, which quantify the similarity of system behaviors. Our model provides the basis for quantitative analysis for those complex physical systems.


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